Software Engineer, Machine Learning (All Levels / All Teams)

Engg; Sunnyvale, San Francisco, Seattle, New York (CA, CA, WA, NY); On-site; USD 137,000 - 299,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Wellness benefits

Commuter benefits match

Paid time off

Paid sick leave

Medical benefits

Dental benefits

Vision benefits

11 paid holidays

Disability and basic life insurance

Mental health program

Flexible paid time off/vacation, plus

80 hours of paid sick time per year

Vacation accrual at ~1 hour per 25.97h

Paid sick time accrual at 1 hour per 6

Job summary

DoorDash is seeking Software Engineers, Machine Learning to build and operate a large-scale, 24x7 global infrastructure for its grocery and retail delivery platform. You will design, train, and deploy ML solutions to enhance the product knowledge graph, embeddings, and audience targeting, collaborating with cross-functional teams in a dynamic environment.

Ideal candidates hold a MS/PhD, 3+ years of ML experience, and hands-on work with PySpark, Snowflake, PyTorch, and related tools.

Qualifications

• MS or PhD in a technical field (CS, math, statistics, physics).
• 3+ years ML industry experience with core algorithms.
• Experience building data/feature pipelines at scale with PySpark and Snowflake SQL.
• Production ML systems using PyTorch, Keras, LightGBM, scikit-learn.
• Experience in online ads, search relevance, or recommender systems preferred.

Responsibilities

• Develop advanced ML models to improve ads efficiency and quality.
• Design optimization algorithms for budgeting and bidding.
• Establish data-driven framework to understand bid density and market competitiveness.
• Develop data solutions (embeddings, consumer profiles) for targeting.
• Own end-to-end ML lifecycle from ideation to deployment and monitoring.
• Extend data/ML infra for ads data applications and experimentation.
• Scale systems to support business growth.

Skills

ML fundamentals

Production ML

Python

Data analysis

Collaboration

Education

MS in CS/Math/Stats

PhD in CS/Math/Stats

Tools

PySpark

Snowflake SQL

PyTorch

Keras

LightGBM

scikit-learn

Spark ML

Job description

About the Role

DoorDash is building the world’s most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash’s 3-sided marketplace of Consumers, Merchants and Dashers. As a Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.

Responsibilities

• Develop advanced machine learning models to improve ads efficiency and quality.
• Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals.
• Establish a data-driven framework to understand how the bid density and market competitiveness would affect advertising value and platform revenue.
• Develop new data solutions (eg. embeddings and consumer profiles) to target the relevant audience.
• Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement.
• Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentation.
• Scale our systems and services to fuel the growth of our business.

Qualifications

• M.S., or PhD. in a technical field such as computer science, mathematics, statistics, physics or equivalent.
• 3+ years ML industry experience with a solid understanding of machine learning algorithms and fundamentals.
• Experience building data/feature engineering pipelines at scale using Pyspark and Snowflake SQL.
• Experience with building machine learning systems in production by using frameworks such as PyTorch, Keras, Lightgbm, scikit-learn, Spark ML, or related.
• Experiences in any of the following areas are preferred but not required: Online advertising, Search relevance & ranking, Recommendation system.

Compensation

Base salary is localized according to an employee's work location. The ranges are market-dependent and may be modified in the future.

• I4 $137,100 - $201,600 USD
• I5 $167,800 - $246,800 USD
• I6 $203,500 - $299,300 USD

In addition to base salary, the compensation for this role includes opportunities for equity grants.

Benefits

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical benefits
• Dental benefits
• Vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program
• Flexible paid time off/vacation, plus 80 hours of paid sick time per year (for salaried roles)
• Vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week)
• Paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week)

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, nation